Marcin J. Skwark

16 papers Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
InstaNovo enables diffusion-powered de novo peptide sequencing in large-scale proteomics experiments.
Nat. Mac. Intell.
Kevin Eloff, Konstantinos Kalogeropoulos, Amandla Mabona, Oliver Morell, Rachel Catzel, Esperanza Rivera-de-Torre, Jakob Berg Jespersen, Wesley Williams, Sam P. B. van Beljouw, Marcin J. Skwark, Andreas Hougaard Laustsen, Stan J. J. Brouns, Anne Ljungars, Erwin M. Schoof, Jeroen Van Goey, Ulrich auf dem Keller, Karim Beguir, Nicolás López Carranza, Timothy P. Jenkins
2023 J jnl
Early computational detection of potential high-risk SARS-CoV-2 variants.
Comput. Biol. Medicine
Karim Beguir, Marcin J. Skwark, Yunguan Fu, Thomas Pierrot, Nicolás López Carranza, Alexandre Laterre, Ibtissem Kadri, Abir Korched, Anna U. Lowegard, Bonny Gaby Lui, Bianca Sänger, Yunpeng Liu, Asaf Poran, Alexander Muik, Ugur Sahin
2020 — conf
3D Deep Learning for Biological Function Prediction from Physical Fields.
3DV
Vladimir Golkov, Marcin J. Skwark, Atanas Mirchev, Georgi Dikov, Alexander R. Geanes, Jeffrey L. Mendenhall, Jens Meiler, Daniel Cremers
2020 J jnl
Designing a Prospective COVID-19 Therapeutic with Reinforcement Learning.
CoRR
Marcin J. Skwark, Nicolás López Carranza, Thomas Pierrot, Joe Phillips, Slim Said, Alexandre Laterre, Amine Kerkeni, Ugur Sahin, Karim Beguir
2020 J jnl
Genome3D: integrating a collaborative data pipeline to expand the depth and breadth of consensus protein structure annotation.
Nucleic Acids Res.
Ian Sillitoe, Antonina Andreeva, Tom L. Blundell, Daniel W. A. Buchan, Robert D. Finn, Julian Gough, David T. Jones, Lawrence A. Kelley, Typhaine Paysan-Lafosse, Su Datt Lam, Alexey G. Murzin, Arun Prasad Pandurangan, Gustavo A. Salazar, Marcin J. Skwark, Michael J. E. Sternberg, Sameer Velankar, Christine A. Orengo
2019 J jnl
Mabellini: a genome-wide database for understanding the structural proteome and evaluating prospective antimicrobial targets of the emerging pathogen Mycobacterium abscessus.
Database J. Biol. Databases Curation
Marcin J. Skwark, Pedro Henrique Monteiro Torres, Liviu Copoiu, Bridget Bannerman-Chukualim, R. Andres Floto, Tom L. Blundell
2017 J jnl
3D Deep Learning for Biological Function Prediction from Physical Fields.
CoRR
Vladimir Golkov, Marcin J. Skwark, Atanas Mirchev, Georgi Dikov, Alexander R. Geanes, Jeffrey L. Mendenhall, Jens Meiler, Daniel Cremers
2017 J jnl
Predicting accurate contacts in thousands of Pfam domain families using PconsC3.
Bioinform.
Mirco Michel, Marcin J. Skwark, David Menéndez Hurtado, Magnus Ekeberg, Arne Elofsson
2016 — conf
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images.
NIPS
Vladimir Golkov, Marcin J. Skwark, Antonij Golkov, Alexey Dosovitskiy, Thomas Brox, Jens Meiler, Daniel Cremers
2014 J jnl
Improved Contact Predictions Using the Recognition of Protein Like Contact Patterns.
PLoS Comput. Biol.
Marcin J. Skwark, Daniele Raimondi, Mirco Michel, Arne Elofsson
2014 J jnl
Improving Contact Prediction along Three Dimensions.
PLoS Comput. Biol.
Christoph Feinauer, Marcin J. Skwark, Andrea Pagnani, Erik Aurell
2014 J jnl
PconsFold: improved contact predictions improve protein models.
Bioinform.
Mirco Michel, Sikander Hayat, Marcin J. Skwark, Chris Sander, Debora S. Marks, Arne Elofsson
2013 J jnl
PconsC: combination of direct information methods and alignments improves contact prediction.
Bioinform.
Marcin J. Skwark, Abbi Abdel-Rehim, Arne Elofsson
2013 J jnl
PconsD: ultra rapid, accurate model quality assessment for protein structure prediction.
Bioinform.
Marcin J. Skwark, Arne Elofsson
2011 J jnl
Improved predictions by Pcons.net using multiple templates.
Bioinform.
Per Larsson, Marcin J. Skwark, Björn Wallner, Arne Elofsson
2008 J jnl
SPOCTOPUS: a combined predictor of signal peptides and membrane protein topology.
Bioinform.
Håkan Viklund, Andreas Bernsel, Marcin J. Skwark, Arne Elofsson